Evidence map›Paper›PMID 42846774›Full record

ArticleJAACAP open2026

Smartphone-Measured Sleep Health Risk Factors Detect Suicidal Thoughts and Behaviors Among Adolescents.

Jaclyn S Kirshenbaum, David Pagliaccio, Esha Trivedi, Hanga Galfalvy, Karla J Joyce, Katherine Durham, Giovanna Porta, Paul A Bloom, Trinity C Tse, Ashley Blanchard and 8 more

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In one paragraph

Article in JAACAP open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Jaclyn S KirshenbaumColumbia University, New York, New York.
David PagliaccioColumbia University, New York, New York.
Esha TrivediColumbia University, New York, New York.
Hanga GalfalvyColumbia University, New York, New York.
Karla J JoyceUniversity of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Katherine DurhamColumbia University, New York, New York.
Giovanna PortaWestern Psychiatric Hospital, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Paul A BloomColumbia University, New York, New York.
Trinity C TseColumbia University, New York, New York.
Ashley BlanchardColumbia University, New York, New York.
Lauren S ChernickColumbia University Irving Medical Center, New York, New York.
Ryann N CrowleyUniversity of Oregon, Eugene, Oregon.
Peter S DayanColumbia University Irving Medical Center, New York, New York.
Lauren E KahnUniversity of Oregon, Eugene, Oregon.
Jamie ZelaznyWestern Psychiatric Hospital, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
David A BrentUniversity of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Nicholas B AllenUniversity of Oregon, Eugene, Oregon.
Randy P AuerbachColumbia University, New York, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Suicide deaths and poor sleep health in adolescents have significantly increased. Smartphone sensors (eg, accelerometry) provide an unobtrusive and scalable way to monitor sleep health over extended time periods. We hypothesized that poor weekly sleep health (ie, shorter and variable time in bed; late and variable bedtime) assessed through smartphone sensors would associate with weekly suicidal thoughts and behaviors (STB). Method: High-risk adolescents (N = 145, 13-18 years of age, 112 female) oversampled for STB (n = 114) installed the Effortless Assessment Research System application on their smartphones, allowing access to motion data over 6 months. Simultaneously, the app measured weekly suicidal ideation. Clinical interviews measured suicidal events (ie, attempts, specifc psychiatric hospitalizations, and emergency department events related to suicide risk) at 1-, 3-, and 6-month follow-up assessments. Mixed-effects logistic regression models tested whether the weekly average and variability of time in bed and bedtime related to next-week STB. Results: A 1-SD in weekly time in bed, relative to one's typical weekly time in bed, related to a near 2-fold greater odds of a next-week suicidal event (odds ratio [OR] = 1.85, 95% CI = 1.01, 3.28, Conclusion: Results reveal proximal associations between smartphone-derived sleep measures and STB, highlighting the possibility of developing just-in-time interventions, focusing on which sleep behaviors to modify and when to intervene to reduce suicide risk.

Indexed as

experience sampling methodologymobile sensorssuicidal eventssuicidal ideationyouth

Identifiers

PMID42846774
PMCPMC13643448

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.